CN113779117A - Data monitoring method and device, storage medium and electronic equipment - Google Patents
Data monitoring method and device, storage medium and electronic equipment Download PDFInfo
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Abstract
The embodiment of the application discloses a data monitoring method, a data monitoring device, a storage medium and electronic equipment, wherein the method comprises the following steps: the method comprises the steps of displaying a monitoring task creating interface, wherein the monitoring task creating interface is an interface for a user to create a data monitoring task, the monitoring task creating interface comprises a plurality of editing controls, determining task attribute information of an input target task and monitoring rule information of the target task based on input operation aiming at the editing controls, creating a data monitoring task corresponding to the target task based on the task attribute information and the monitoring rule information, executing the target task, detecting task execution result data of the target task in real time, executing the data monitoring task aiming at the task execution result data when the task execution result data are detected to exist, obtaining a data monitoring result, and displaying the data monitoring result in real time. The scheme enables a user to obtain the data monitoring result in time.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a data monitoring method and apparatus, a storage medium, and an electronic device.
Background
Data monitoring is a means for effectively feeding back abnormal data in time, and whether the data is abnormal or not is analyzed by monitoring the data so as to find potential problems and give an alarm in time. However, in the prior art, data monitoring is to output data to a service database and display the data in a report configuration manner, so that when a user needs to perform data monitoring, the user needs to actively check a report or wait for a fixed-point pushed report, which undoubtedly affects the timeliness of the user for acquiring monitored data.
Disclosure of Invention
The embodiment of the application provides a data monitoring method and device, a storage medium and electronic equipment, and a user can obtain a data monitoring result in time by the scheme.
An embodiment of the present application provides a data monitoring method, including:
displaying a monitoring task creating interface, wherein the monitoring task creating interface is an interface for a user to create a data monitoring task, and comprises a plurality of editing controls;
determining task attribute information of an input target task and monitoring rule information aiming at the target task based on the input operation aiming at the editing control;
based on the task attribute information and the monitoring rule information, creating a data monitoring task corresponding to the target task;
executing the target task, and detecting task execution result data of the target task in real time;
when detecting that the task execution result data exists, executing the data monitoring task aiming at the task execution result data to obtain a data monitoring result;
and displaying the data monitoring result in real time.
Correspondingly, an embodiment of the present application further provides a data monitoring apparatus, including:
the system comprises an interface display module, a data processing module and a data processing module, wherein the interface display module is used for displaying a monitoring task creating interface, the monitoring task creating interface is an interface for a user to create a data monitoring task, and the monitoring task creating interface comprises a plurality of editing controls;
the determining module is used for determining task attribute information of an input target task and monitoring rule information aiming at the target task based on the input operation aiming at the editing control;
the creating module is used for creating a data monitoring task corresponding to the target task based on the task attribute information and the monitoring rule information;
the execution module is used for executing the target task and detecting task execution result data of the target task in real time;
the monitoring module is used for executing the data monitoring task aiming at the task execution result data to obtain a data monitoring result when the task execution result data is detected to exist;
and the result display module is used for displaying the data monitoring result in real time.
At this time, the creating module may be specifically configured to invoke a computing platform task interface, and create, when the invoking of the computing platform task interface is successful, a data monitoring task corresponding to the target task based on the task attribute information and the monitoring rule information.
At this time, the execution module may be specifically configured to determine a target task to be monitored from a plurality of candidate tasks, determine target data to be processed that needs to be processed from a plurality of data to be processed corresponding to the target task, execute the target task for the target data to be processed, and perform real-time detection on task execution result data of the target task.
Optionally, in some embodiments, the monitoring module may include an execution submodule and a write submodule, as follows:
the execution submodule is used for executing the data monitoring task aiming at the task execution result data to obtain initial monitoring data when the task execution result data is detected to exist;
and the writing-in submodule is used for writing the initial monitoring data into a preset page template to obtain a data monitoring result.
Optionally, in some embodiments, the execution sub-module may include a second execution sub-module, a format conversion sub-module, and a construction sub-module, as follows:
the second execution submodule is used for executing the data monitoring tasks aiming at a plurality of monitoring objects in the task execution result data when the task execution result data is detected to exist, and obtaining initial monitoring subdata corresponding to each monitoring object;
the format conversion submodule is used for carrying out format conversion on each initial monitoring subdata to obtain a plurality of converted monitoring subdata;
and the construction submodule is used for constructing initial monitoring data based on the converted monitoring subdata.
At this time, the execution module may be specifically configured to, when it is detected that the data integrity of the plurality of converted monitoring subdata meets a preset standard, analyze the plurality of converted monitoring subdata to obtain a plurality of analyzed monitoring subdata, and combine the plurality of analyzed monitoring subdata to obtain initial monitoring data.
At this time, the determining module may be specifically configured to determine task attribute information of the input target task based on an input operation for the editing control in the first monitoring task creation interface, and determine monitoring rule information for the target task based on an input operation for the editing control in the second monitoring task creation interface.
In addition, a computer storage medium is provided in an embodiment of the present application, where a plurality of instructions are stored in the computer storage medium, and the instructions are suitable for being loaded by a processor to perform steps in any data monitoring method provided in the embodiment of the present application.
In addition, an electronic device is further provided in an embodiment of the present application, and includes a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement the steps in any one of the data monitoring methods provided in the embodiment of the present application.
The embodiment of the application can display a monitoring task creation interface, the monitoring task creation interface is an interface for a user to create a data monitoring task, the monitoring task creation interface comprises a plurality of editing controls, based on input operation aiming at the editing controls, task attribute information of an input target task and monitoring rule information of the target task are determined, based on the task attribute information and the monitoring rule information, a data monitoring task corresponding to the target task is created, the target task is executed, task execution result data of the target task are detected in real time, when the task execution result data are detected to exist, the data monitoring task is executed aiming at the task execution result data, a data monitoring result is obtained, and the data monitoring result is displayed in real time. The scheme enables a user to obtain the data monitoring result in time.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic view of a scenario of a data monitoring system provided in an embodiment of the present application;
FIG. 2 is a first flowchart of a data monitoring method provided by an embodiment of the present application;
FIG. 3 is a second flowchart of a data monitoring method provided by an embodiment of the present application;
FIG. 4 is a first monitoring task creation interface provided by an embodiment of the present application;
FIG. 5 is a second monitoring task creation interface provided by an embodiment of the present application;
FIG. 6 is a third flowchart of a data monitoring method provided by an embodiment of the present application;
fig. 7 is a fourth flowchart of a data monitoring method provided in an embodiment of the present application;
fig. 8 is a fifth flowchart of a data monitoring method provided in an embodiment of the present application;
FIG. 9 is a diagram illustrating data monitoring results provided by an embodiment of the present application;
FIG. 10 is a schematic diagram of a first task deployment provided by an embodiment of the present application;
FIG. 11 is a schematic diagram of a second task deployment provided by an embodiment of the present application;
FIG. 12 is a schematic diagram of a first task execution provided by an embodiment of the present application;
FIG. 13 is a diagram illustrating a second task performed according to an embodiment of the present application;
FIG. 14 is a schematic structural diagram of a data monitoring apparatus according to an embodiment of the present application;
fig. 15 is a schematic structural diagram of an electronic device provided in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the application provides a data monitoring method and device, a storage medium and electronic equipment. Specifically, the data monitoring method according to the embodiment of the present application may be executed by an electronic device, where the electronic device may be a terminal or a server, and the terminal may be a mobile phone, a tablet Computer, a notebook Computer, a smart television, a wearable smart device, a Personal Computer (PC), and other devices. The terminal may include a client, which may be a video client or a browser client, and the server may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing cloud computing services. The terminal may be, but is not limited to, a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, and the like. The terminal and the server may be directly or indirectly connected through wired or wireless communication, and the application is not limited herein.
For example, referring to fig. 1, in an example where the data monitoring method is executed by an electronic device, the electronic device may display a monitoring task creation interface, where the monitoring task creation interface is an interface for a user to create a data monitoring task, the monitoring task creation interface includes a plurality of editing controls, determines task attribute information of an input target task and monitoring rule information of the target task based on an input operation for the editing controls, creates a data monitoring task corresponding to the target task based on the task attribute information and the monitoring rule information, executes the target task, and performs real-time detection on task execution result data of the target task, and when it is detected that there is task execution result data, executes the data monitoring task for the task execution result data, obtains a data monitoring result, and displays the data monitoring result in real time.
The following are detailed below. It should be noted that the following description of the embodiments is not intended to limit the preferred order of the embodiments.
The embodiment of the application provides a data monitoring method, which can be executed by a terminal or a server, or can be executed by the terminal and the server together; in the embodiment of the present application, a data monitoring method is described as an example executed by a server, and as shown in fig. 2, a specific flow of the data monitoring method may be as follows:
201. and displaying a monitoring task creation interface.
The task is a work unit of the computer, and a script, a program, a document or the like can be scheduled to run at a preset time by using the task. For example, setting up fixed day statistics for each month, and thus obtaining a commission return for each month is a task. The task attribute information of the task is information that can point to a specific task, for example, the name of the task can be used as a kind of task attribute information.
The data monitoring is a means for effectively feeding back abnormal data in time, and whether the data is abnormal or not is analyzed by monitoring the data so as to find potential problems and give an alarm in time.
The monitoring task creating interface is an interface for a user to create a data monitoring task, and comprises a plurality of editing controls. For example, as shown in fig. 4 and 5, the monitoring task creation interface is a broad concept, and as long as the interface in which the data monitoring task related information is edited may be referred to as the monitoring task creation interface, the monitoring task creation interface in the present application may include a first monitoring task creation interface as shown in fig. 4 and a second monitoring task creation interface as shown in fig. 5.
In practical applications, for example, when a data monitoring task needs to be created, a developer may trigger a monitoring task creation request by clicking a button of "newly adding a monitoring task" on a query interface, and display a monitoring task creation interface as shown in fig. 4 and 5 according to the monitoring task creation request, and the developer may edit information for a plurality of editing controls of the monitoring task creation interface.
202. And determining task attribute information of the input target task and monitoring rule information of the target task based on the input operation aiming at the editing control.
The monitoring rule information is preset rule information for monitoring data in the data monitoring process, an object to be monitored and a rule for monitoring the object can be known through the monitoring rule information, and the monitoring rule information can be expressed in a statement form. For example, after a task is executed, a corresponding result data table is obtained, where the result data table includes four fields: when a user wants to check whether the user name in the result data table is repeated, the user can write corresponding SQL codes according to the data monitoring rules, and the edited SQL codes can be called monitoring rule information. Structured Query Language (SQL) is a database Query and programming Language for accessing data and querying, updating, and managing relational database systems.
In practical applications, for example, the data monitoring method of the present application is directed to a target task, and after the target task is executed, task execution result data is obtained, and data monitoring needs to be performed on the task execution result data, so that a data monitoring task for the task execution result data needs to be established. In the process of creating the data monitoring task, it is first determined which task the task execution result data for the data monitoring task belongs to, that is, the task attribute information of the target task, and it is also determined how to monitor the task execution result data, that is, the monitoring rule information for the target task.
In an embodiment, the information necessary for creating the data monitoring task may be acquired by editing the monitoring task creation interface. Specifically, the step "determining task attribute information of an input target task and monitoring rule information for the target task based on an input operation for the editing control" may include:
determining task attribute information of an input target task based on the input operation of the editing control in the first monitoring task creation interface;
and determining monitoring rule information aiming at the target task based on the input operation aiming at the editing control in the second monitoring task creation interface.
The first monitoring task creating interface is mainly used for configuring monitoring basic information for a data monitoring task, and can comprise a plurality of editing controls, wherein each editing control correspondingly aims at one type of editing information. For example, as shown in fig. 4, after the target task is executed, a result data table is obtained, where the result data table includes four fields: ID-number, username-user name, age-age, and trade _ cnt-transaction number, when the user wants to check whether the user name is duplicated in the result data table, a corresponding data monitoring task can be established. At this time, the 'business Chinese name' in the first monitoring task creation interface is the name of the data monitoring task, namely 'repeated data inspection monitoring'; the notification type is the manner in which a result receiver is notified after a data monitoring result is obtained, and can be a mail; the task period refers to a period for executing the target task, and if the target task is executed once a month, the task period may be edited as "month" or the like.
The second monitoring task creation interface is mainly used for configuring monitoring rule information for the data monitoring task, and the second monitoring task creation interface can comprise a plurality of editing controls, and each editing control correspondingly aims at one type of editing information. For example, as shown in fig. 5, after the target task is executed, a result data table is obtained, where the result data table includes four fields: ID-number, username-user name, age-age, and trade _ cnt-transaction number, when the user wants to check whether the user name is duplicated in the result data table, a corresponding data monitoring task can be established. At this time, the "title" in the second monitoring task creation interface may be "data duplication check"; the SQL code fills in the corresponding SQL statement; since it is checked whether the username is duplicated, the corresponding "header english field" is "username, repeat _ cnt"; the "header Chinese meaning" is the meaning of the query field, namely the "user name, repeated occurrence times"; the "limit record number" indicates the maximum record number that can be displayed when the data monitoring result is finally displayed, and may be set to "200" or the like.
In practical applications, for example, when a data monitoring task needs to be created, a developer may trigger a monitoring task creation request by clicking a button of a "new monitoring task" on a query interface, and display a first monitoring task creation interface as shown in fig. 4, the developer may edit information for a plurality of editing controls of the first monitoring task creation interface, after the editing is completed, the developer may save the information by clicking a "save" button of the first monitoring task creation interface, and jump to display a second monitoring task creation interface as shown in fig. 5, then the developer may edit the information for a plurality of editing controls of the second monitoring task creation interface, after the editing is completed, the developer may save the information by clicking a preset area of the second monitoring task creation interface, the clicking operation is an information editing completion operation for the second monitoring task creation interface, at this time, the task attribute information of the target task and the monitoring rule information for the target task can be obtained according to the editing operation performed by the developer. After the monitoring task creation interface is edited, the edited information can be stored, so that the subsequent operation flow is facilitated.
203. And establishing a data monitoring task corresponding to the target task based on the task attribute information and the monitoring rule information.
In practical application, for example, after the task attribute information and the monitoring rule information are obtained, a corresponding data monitoring task can be created, and the data monitoring task is used for monitoring task execution result data corresponding to a target task.
In an embodiment, specifically, the step "creating a data monitoring task corresponding to the target task based on the task attribute information and the monitoring rule information" may include:
calling a task interface of the computing platform;
and when the task interface of the computing platform is called successfully, creating a data monitoring task corresponding to the target task based on the task attribute information and the monitoring rule information.
In practical application, for example, as shown in fig. 6, after information required by a data monitoring task is edited, a task interface of a big data computing platform may be called, and when the task interface of the big data computing platform is successfully called, a data monitoring task corresponding to a target task is generated according to task attribute information and monitoring rule information; and if the calling is unsuccessful, returning to the step of calling the task interface of the big data computing platform until a data monitoring task is generated. After the data monitoring task is created, an interface of successful task deployment as shown in fig. 11 may be displayed, where "task 3" refers to the target task, and after the data monitoring task is created successfully, the relationship between the target task and the data monitoring task is displayed on the interface in the form of an arrow.
The method can greatly improve the flexibility of the data monitoring method, so that a user can create data monitoring tasks according to actual requirements, when different data monitoring tasks need to be created, only corresponding editing information needs to be adjusted, and the information is edited and modified on an interface, so that the data monitoring tasks can be created conveniently and quickly.
204. And executing the target task, and detecting the task execution result data of the target task in real time.
In practical applications, for example, calculation or rerun may be initiated for a target task, and since a data monitoring task needs to monitor task execution result data generated after the target task is executed, a data state of the task execution result data of the target task needs to be detected in real time, that is, whether the task execution result data capable of being monitored is generated is detected.
In one embodiment, as a plurality of tasks are provided, a target task can be selected according to actual requirements to execute the tasks. Specifically, the step of "executing the target task and detecting task execution result data of the target task in real time" may include:
determining a target task needing to be monitored from a plurality of candidate tasks;
determining target data to be processed which needs to be processed from a plurality of data to be processed corresponding to the target task;
and executing the target task aiming at the target data to be processed, and detecting the task execution result data of the target task in real time.
In practical application, for example, as shown in fig. 11, a plurality of tasks "task 1", "task 2", "task 3", "task 4", and "task 5" in a left column in the drawing are tasks that need to be monitored, task 3 is selected from these tasks as a target task, and a developer can determine task 3 as the target task by clicking a task area where "task 3" is located. At this time, as shown in fig. 10, the developer may select "view the instance" in the pop-up popup, and at this time, the interface shown in fig. 12 is displayed, and it can be seen that the interface includes a data list of the data to be processed corresponding to the target task, where the data list includes a plurality of data to be processed "2020-04-0100: 00: 00 "," 2020-03-0100: 00: 00 ", and" 2020-02-0100: 00: 00 ", since the target task is executed once every month, and the data to be processed is different in each execution, the target task is executed by" 2020-04-0100: 00: 00' represents the data to be processed corresponding to month 4, "2020-03-0100: 00: 00' represents the data to be processed corresponding to 3 months, "2020-02-0100: 00: 00 "represents the data to be processed corresponding to 2 months. When the target task is executed, an item of data to be processed can be selected for execution, for example, the data to be processed corresponding to month 2 can be determined as the target data to be processed, then an "instance rerun" button is clicked, and the target task is executed aiming at the data to be processed corresponding to month 2.
205. And when detecting that the task execution result data exists, executing the data monitoring task aiming at the task execution result data to obtain a data monitoring result.
In practical applications, for example, when a target task starts to initiate calculation and generates task execution result data, the task is executed to a monitoring flow, and at this time, calculation of a data monitoring task can be performed and a data monitoring result is obtained.
Specifically, the step "when it is detected that the task execution result data exists, the data monitoring task is executed according to the task execution result data to obtain a data monitoring result", may include:
when detecting that the task execution result data exists, executing the data monitoring task aiming at the task execution result data to obtain initial monitoring data;
and writing the initial monitoring data into a preset page template to obtain a data monitoring result.
In practical applications, for example, as shown in fig. 13, when it is detected that there is task execution result data, it is described that the task has already executed the data flow at this time, the data monitoring task can be executed according to the task execution result, and initial monitoring data is obtained, at this time, the interface displays "execution success" at the "state" of the corresponding target data to be processed, and displays the start time and the execution duration, so that the user can know the state of task execution. And then filling an HMTL template page based on the initial monitoring data to obtain a data monitoring result in a page form.
Specifically, the step "when it is detected that the task execution result data exists, the data monitoring task is executed according to the task execution result data to obtain initial monitoring data", may include:
when the task execution result data is detected to exist, executing the data monitoring tasks aiming at a plurality of monitoring objects in the task execution result data to obtain initial monitoring subdata corresponding to each monitoring object;
carrying out format conversion on each initial monitoring subdata to obtain a plurality of converted monitoring subdata;
and constructing initial monitoring data based on the converted monitoring subdata.
In practical applications, for example, as shown in fig. 7, after the target task is executed, a result data table is obtained, where the result data table includes a user name field, and when a user wants to check whether a user name in the result data table is duplicated, a corresponding data monitoring task may be established, but the result data table includes a plurality of user name fields, such as a user name "test 1", a user name "test 2", and so on, so that the data monitoring task may respectively monitor whether the user name "test 1" is duplicated, and whether the user name "test 2" is duplicated, respectively, and may obtain initial monitoring subdata corresponding to a plurality of user names, and then perform format conversion on each initial monitoring subdata through a udf function to convert the format into JSON data, that is, a plurality of converted monitoring subdata, and then monitor subdata according to the plurality of converted monitoring subdata, initial monitoring data is constructed.
Specifically, the step of "constructing initial monitoring data based on the converted monitoring subdata" may include:
when detecting that the data integrity of the plurality of converted monitoring subdata meets a preset standard, analyzing the plurality of converted monitoring subdata to obtain a plurality of analyzed monitoring subdata;
and combining the analyzed monitoring subdata to obtain initial monitoring data.
In practical applications, for example, as shown in fig. 8, after obtaining the plurality of converted monitoring subdata, an external program may be used to check whether the plurality of converted monitoring subdata are complete, if the plurality of converted monitoring subdata are complete, each converted monitoring subdata may be analyzed to obtain a plurality of analyzed monitoring subdata, the plurality of analyzed monitoring subdata are combined to obtain initial monitoring data, then the initial monitoring data is written into a preset page template to obtain a data monitoring result, and the data monitoring result is output in real time.
In an embodiment, the initial monitoring data including the plurality of converted monitoring sub-data may also be stored, for example, as shown in fig. 7, the initial monitoring data may be stored in a unified intermediate temporary table, and finally the intermediate result is uniformly written into the monitoring result table and is permanently retained.
In one embodiment, for example, after the target task is executed, a result data table is obtained, where the result data table includes four fields: ID-number, username-user name, age-age, and trade _ cnt-transaction number, when the user wants to check whether the user name is duplicated in the result data table, a corresponding data monitoring task can be established. After the target task is executed and the result data table is obtained, the data monitoring task can be executed according to the plurality of user names of the result data table, the initial monitoring subdata corresponding to each user name is obtained, and then each initial monitoring subdata is subjected to format conversion through the udf function and is converted into the plurality of converted monitoring subdata. And then checking whether the plurality of converted monitoring subdata are complete by using an external program, if the plurality of converted monitoring subdata are complete, analyzing the plurality of converted monitoring subdata to obtain a plurality of analyzed monitoring subdata, combining the plurality of analyzed monitoring subdata to obtain initial monitoring data, and filling an HMTL template page based on the initial monitoring data to obtain a page-form data monitoring result.
As shown in fig. 13, after the data monitoring task is successfully executed, the data to be processed corresponding to the target data to be processed "2020-02-0100: 00: 00 ", time" 2020-03-2019 at which task execution starts is displayed: 46: 41 ", the execution time length of the task" 00: 12: 32 "and the status of the task is" execution successful ".
As shown in fig. 9, the page-form data monitoring result may include a push time, a data monitoring date "202002", a current display record number "2", a maximum display record number "200", and a list-form monitoring result, where the list includes a plurality of monitoring objects "test 1" and "test 2", and a repeat occurrence number "5" corresponding to a user name "test 1" and a repeat occurrence number "3" corresponding to a user name "test 2". The pushing time is the time when the data monitoring task is successfully executed, that is, once the data monitoring task is successfully executed and a data monitoring result is obtained, the data monitoring result is immediately pushed.
In the embodiment of the application, the data monitoring task and the target task are both calculation tasks, the execution of the data monitoring task depends on the execution of the target task, by means of the method, bypass monitoring is achieved, and the execution of the data monitoring task does not affect the target task. Meanwhile, for the target task, the data monitoring task is driven to initiate and execute every time the target task initiates the calculation again, so that the rerun monitoring is realized, developers do not need to periodically and repeatedly execute the data monitoring work, and the development efficiency is greatly improved.
206. And displaying the data monitoring result in real time.
In practical application, since a developer actively and frequently checks a data monitoring result, which greatly affects working efficiency, in order to ensure that the developer can receive the data monitoring result in time, after the data monitoring result is obtained, the data monitoring result can be pushed to the developer in real time, for example, the data monitoring result shown in fig. 9 can be pushed to a result receiving party in a mail manner, that is, the developer only needs to query the pushed mail when needing to check the data monitoring result, and does not need to operate a program again to obtain the data monitoring result, so that the developer can find a problem in time and follow the problem in time.
By using the data monitoring method of the embodiment of the application, developers only need to set a data monitoring task on the data monitoring system, and the system can automatically and timely push the data monitoring result to the developers. Even if the calculation logic of the target task is modified and calculation needs to be restarted, the data monitoring method can automatically restart the task for rerun and push the data monitoring result again.
As can be seen from the above, in the embodiment of the present application, a monitoring task creation interface may be displayed, where the monitoring task creation interface is an interface for a user to create a data monitoring task, the monitoring task creation interface includes a plurality of editing controls, and determines, based on an input operation for the editing controls, task attribute information of an input target task and monitoring rule information of the target task, and creates a data monitoring task corresponding to the target task, executes the target task, and performs real-time detection on task execution result data of the target task, and when it is detected that there is task execution result data, executes the data monitoring task for the task execution result data, obtains a data monitoring result, and displays the data monitoring result in real time. According to the scheme, the data monitoring result can be automatically pushed in time after the task is executed, so that developers do not need to frequently inquire data and the task execution progress, and risks can be rapidly monitored. And after the service calculation logic is adjusted, the data monitoring task can be driven to restart monitoring when the target task restarts calculation, so that even after the calculation logic is adjusted, developers can still obtain the accurate data monitoring task in time, thereby finding problems in time and following the problems in time.
According to the method described in the foregoing embodiment, the data monitoring method will be described in further detail below as an example performed by an electronic device. Referring to fig. 3, a specific process of the data monitoring method according to the embodiment of the present application may be as follows:
301. the electronic equipment acquires task information of a data monitoring task corresponding to the target task.
In practical applications, for example, after the target task is executed, a result data table T _ User _ List is obtained, where the result data table includes four fields: and when the user wants to check whether the user name is repeated in the result data table, a data monitoring task corresponding to the target task can be established.
As shown in fig. 4, "duplicate data check monitoring" may be edited at "business chinese name" of the first monitoring task creation interface, "mail" may be edited at "notification type," month "may be edited at a task period, and so on. As shown in fig. 5, it is possible to edit "data duplication check" at "title" of the second monitoring task creation interface, edit a corresponding SQL statement "header english field" as "username, repeat _ cnt" at "header chinese meaning", edit "user name, duplication occurrence number" at "header chinese meaning", set "limit record number" to "200", and note "check data duplication", and so on. And the information edited in the monitoring task creating interface is the task information of the data monitoring task.
In one embodiment, for example, the SQL statements edited at the second monitoring task creation interface "SQL code" may be as follows:
select
username,count(*)repeat_cnt
from T_User_List
group by username
having count(*)>1
302. and when the task interface of the big data computing platform is called successfully, the electronic equipment generates a data monitoring task.
In practical applications, for example, when a task interface of a big data computing platform is successfully called, a data monitoring task may be generated, as shown in fig. 11, it can be known from the figure that a target task "task 3" corresponds to a data monitoring task ".
303. The electronic device executes the target task and generates task execution result data.
In actual practice, for example, a target task "task 3" may be selected and a calculation or rerun initiated for the target task. As shown in fig. 10, an area corresponding to the data monitoring task may be clicked, and a "view example" option may be selected in a pop-up popup window, so as to display the target task and a plurality of pieces of data to be processed corresponding to the target task as shown in fig. 12. Then clicking an example re-run button on the interface, namely aiming at selecting the example 2020-02-0100: 00: and 00' data time is used for executing the target task by the target data to be processed.
304. When the fact that the task execution result data are generated is detected, the electronic equipment executes the data monitoring tasks according to the multiple monitoring objects in the task execution result data, and initial monitoring subdata corresponding to the multiple monitoring objects is obtained.
In practical applications, for example, when it is detected that the task execution result data is generated, it indicates that the task has been executed to the monitoring process, and at this time, the data monitoring task may be executed for a plurality of user names in the task execution result data, so as to obtain initial monitoring sub-data corresponding to the plurality of user names. As shown in fig. 13, when the task is completed, the current status is displayed as "successful execution" on the interface, and the execution duration "00: 12: 32 "and a start time" 2020-03-2019: 46: 41 "so that the user can grasp the process of task execution.
305. And the electronic equipment performs format conversion on each initial monitoring subdata to obtain a plurality of converted monitoring subdata.
306. If the converted monitoring subdata is detected to be complete, the electronic equipment analyzes the converted monitoring subdata to obtain analyzed monitoring subdata.
307. And the electronic equipment combines the analyzed monitoring subdata to obtain initial monitoring data.
308. And the electronic equipment writes the initial monitoring data into a preset page template to obtain a data monitoring result.
In practical applications, for example, after the initial monitoring data is written into the preset page template, the data monitoring result as shown in fig. 9 can be obtained, where the data monitoring result includes the push time, the repeated user name "test 1" and the corresponding repeated occurrence number "5", the repeated user name "test 2" and the corresponding repeated occurrence number "3", the current display record number "2", the maximum display record number "200", and the like.
309. And the electronic equipment pushes a data monitoring result in real time.
In practical application, after the data monitoring result is obtained, the data monitoring result can be automatically pushed in a mail mode.
As can be seen from the above, in the embodiments of the present application, task information of a data monitoring task corresponding to a target task may be obtained through an electronic device, when a task interface of a big data computing platform is successfully invoked, the data monitoring task is generated, the target task is executed, and task execution result data is generated, when the task execution result data is detected to be generated, the data monitoring task is executed for a plurality of monitoring objects in the task execution result data, initial monitoring subdata corresponding to a plurality of monitoring objects is obtained, format conversion is performed on each of the initial monitoring subdata, a plurality of converted monitoring subdata are obtained, if it is detected that the plurality of converted monitoring subdata are complete, the plurality of converted monitoring subdata are analyzed, the plurality of analyzed monitoring subdata are obtained, the plurality of analyzed monitoring subdata are combined, the initial monitoring data are obtained, and the initial monitoring data are written into a preset page template, and obtaining a data monitoring result and pushing the data monitoring result in real time. According to the scheme, the data monitoring result can be automatically pushed in time after the task is executed, so that developers do not need to frequently inquire data and the task execution progress, and risks can be rapidly monitored. And after the service calculation logic is adjusted, the data monitoring task can be driven to restart monitoring when the target task restarts calculation, so that even after the calculation logic is adjusted, developers can still obtain the accurate data monitoring task in time, thereby finding problems in time and following the problems in time.
In order to better implement the above method, correspondingly, the embodiment of the present application further provides a data monitoring apparatus, which may be integrated in an electronic device, and referring to fig. 14, the data monitoring apparatus includes an interface display module 141, a determination module 142, a creation module 143, an execution module 144, a monitoring module 145, and a result display module 146, as follows:
the interface display module 141 is configured to display a monitoring task creation interface, where the monitoring task creation interface is an interface for a user to create a data monitoring task, and the monitoring task creation interface includes multiple editing controls;
a determining module 142, configured to determine, based on an input operation for the editing control, task attribute information of an input target task and monitoring rule information for the target task;
a creating module 143, configured to create a data monitoring task corresponding to the target task based on the task attribute information and the monitoring rule information;
the execution module 144 is configured to execute the target task and perform real-time detection on task execution result data of the target task;
the monitoring module 145 is configured to, when it is detected that the task execution result data exists, execute the data monitoring task for the task execution result data to obtain a data monitoring result;
and a result display module 146, configured to display the data monitoring result in real time.
In an embodiment, the creating module 143 may specifically be configured to:
calling a task interface of the computing platform;
and when the task interface of the computing platform is called successfully, creating a data monitoring task corresponding to the target task based on the task attribute information and the monitoring rule information.
In an embodiment, the executing module 144 may specifically be configured to:
determining a target task needing to be monitored from a plurality of candidate tasks;
determining target data to be processed which needs to be processed from a plurality of data to be processed corresponding to the target task;
and executing the target task aiming at the target data to be processed, and detecting the task execution result data of the target task in real time.
In one embodiment, the monitoring module 145 may include a first execution submodule and a write submodule, as follows:
the first execution submodule is used for executing the data monitoring task aiming at the task execution result data to obtain initial monitoring data when the task execution result data is detected to exist;
and the writing-in submodule is used for writing the initial monitoring data into a preset page template to obtain a data monitoring result.
In one embodiment, the execution submodule may include a second execution submodule, a format conversion submodule, and a construction submodule, as follows:
the second execution submodule is used for executing the data monitoring tasks aiming at a plurality of monitoring objects in the task execution result data when the task execution result data is detected to exist, and obtaining initial monitoring subdata corresponding to each monitoring object;
the format conversion submodule is used for carrying out format conversion on each initial monitoring subdata to obtain a plurality of converted monitoring subdata;
and the construction submodule is used for constructing initial monitoring data based on the converted monitoring subdata.
In an embodiment, the building submodule may be specifically configured to:
when detecting that the data integrity of the plurality of converted monitoring subdata meets a preset standard, analyzing the plurality of converted monitoring subdata to obtain a plurality of analyzed monitoring subdata;
and combining the analyzed monitoring subdata to obtain initial monitoring data.
In an embodiment, the determining module 142 may be specifically configured to:
determining task attribute information of an input target task based on the input operation of the editing control in the first monitoring task creation interface;
and determining monitoring rule information aiming at the target task based on the input operation aiming at the editing control in the second monitoring task creation interface.
In a specific implementation, the above units may be implemented as independent entities, or may be combined arbitrarily to be implemented as the same or several entities, and the specific implementation of the above units may refer to the foregoing method embodiments, which are not described herein again.
As can be seen from the above, in the embodiment of the present application, the interface display module 141 may display a monitoring task creation interface, which is an interface for a user to create a data monitoring task, where the monitoring task creation interface includes a plurality of editing controls, by the determination module 142, based on the input operation for the editing control, determining the task attribute information of the input target task and the monitoring rule information of the target task, by the creating module 143, based on the task attribute information and the monitoring rule information, the data monitoring task corresponding to the target task is created, the target task is executed by the execution module 144, and the task execution result data of the target task is detected in real time, when it is detected that the task execution result data exists, the data monitoring task is executed according to the task execution result data through the monitoring module 145, so as to obtain a data monitoring result, and the data monitoring result is displayed in real time through the result display module 146. According to the scheme, the data monitoring result can be automatically pushed in time after the task is executed, so that developers do not need to frequently inquire data and the task execution progress, and risks can be rapidly monitored. And after the service calculation logic is adjusted, the data monitoring task can be driven to restart monitoring when the target task restarts calculation, so that even after the calculation logic is adjusted, developers can still obtain the accurate data monitoring task in time, thereby finding problems in time and following the problems in time.
The embodiment of the application also provides electronic equipment which can integrate any data monitoring device provided by the embodiment of the application.
For example, as shown in fig. 15, a schematic structural diagram of an electronic device according to an embodiment of the present application is shown, specifically:
the electronic device may include components such as a processor 151 of one or more processing cores, memory 152 of one or more computer-readable storage media, a power supply 153, and an input unit 154. Those skilled in the art will appreciate that the electronic device configuration shown in fig. 15 does not constitute a limitation of the electronic device and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components. Wherein:
the processor 151 is a control center of the electronic device, connects various parts of the entire electronic device using various interfaces and lines, performs various functions of the electronic device and processes data by operating or executing software programs and/or modules stored in the memory 152 and calling data stored in the memory 152, thereby monitoring the electronic device as a whole. Optionally, processor 151 may include one or more processing cores; preferably, the processor 151 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 151.
The memory 152 may be used to store software programs and modules, and the processor 151 executes various functional applications and data processing by operating the software programs and modules stored in the memory 152. The memory 152 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data created according to use of the electronic device, and the like. Further, the memory 152 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory 152 may also include a memory controller to provide the processor 151 with access to the memory 152.
The electronic device further comprises a power supply 153 for supplying power to each component, and preferably, the power supply 153 is logically connected to the processor 151 through a power management system, so that functions of managing charging, discharging, power consumption, and the like are realized through the power management system. The power supply 153 may also include any component including one or more dc or ac power sources, recharging systems, power failure detection circuitry, power converters or inverters, power status indicators, and the like.
The electronic device may further include an input unit 154, and the input unit 154 may be used to receive input numeric or character information and generate a keyboard, mouse, joystick, optical or trackball signal input in relation to user settings and function control.
Although not shown, the electronic device may further include a display unit and the like, which are not described in detail herein. Specifically, in this embodiment, the processor 151 in the electronic device loads an executable file corresponding to a process of one or more application programs into the memory 152 according to the following instructions, and the processor 151 runs the application programs stored in the memory 152, so as to implement various functions as follows:
the method comprises the steps of displaying a monitoring task creating interface, wherein the monitoring task creating interface is an interface for a user to create a data monitoring task, the monitoring task creating interface comprises a plurality of editing controls, determining task attribute information of an input target task and monitoring rule information of the target task based on input operation aiming at the editing controls, creating a data monitoring task corresponding to the target task based on the task attribute information and the monitoring rule information, executing the target task, detecting task execution result data of the target task in real time, executing the data monitoring task aiming at the task execution result data when the task execution result data are detected to exist, obtaining a data monitoring result, and displaying the data monitoring result in real time.
The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.
As can be seen from the above, in the embodiment of the present application, a monitoring task creation interface may be displayed, where the monitoring task creation interface is an interface for a user to create a data monitoring task, the monitoring task creation interface includes a plurality of editing controls, and determines, based on an input operation for the editing controls, task attribute information of an input target task and monitoring rule information of the target task, and creates a data monitoring task corresponding to the target task, executes the target task, and performs real-time detection on task execution result data of the target task, and when it is detected that there is task execution result data, executes the data monitoring task for the task execution result data, obtains a data monitoring result, and displays the data monitoring result in real time. According to the scheme, the data monitoring result can be automatically pushed in time after the task is executed, so that developers do not need to frequently inquire data and the task execution progress, and risks can be rapidly monitored. And after the service calculation logic is adjusted, the data monitoring task can be driven to restart monitoring when the target task restarts calculation, so that even after the calculation logic is adjusted, developers can still obtain the accurate data monitoring task in time, thereby finding problems in time and following the problems in time.
It will be understood by those skilled in the art that all or part of the steps of the methods of the above embodiments may be performed by instructions or by associated hardware controlled by the instructions, which may be stored in a computer readable storage medium and loaded and executed by a processor.
To this end, an embodiment of the present application provides an electronic device, in which a plurality of instructions are stored, and the instructions can be loaded by a processor to execute the steps in any data monitoring method provided in the embodiment of the present application. For example, the instructions may perform the steps of:
the method comprises the steps of displaying a monitoring task creating interface, wherein the monitoring task creating interface is an interface for a user to create a data monitoring task, the monitoring task creating interface comprises a plurality of editing controls, determining task attribute information of an input target task and monitoring rule information of the target task based on input operation aiming at the editing controls, creating a data monitoring task corresponding to the target task based on the task attribute information and the monitoring rule information, executing the target task, detecting task execution result data of the target task in real time, executing the data monitoring task aiming at the task execution result data when the task execution result data are detected to exist, obtaining a data monitoring result, and displaying the data monitoring result in real time.
The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.
Wherein the storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
Since the instructions stored in the storage medium can execute the steps in any data monitoring method provided in the embodiments of the present application, beneficial effects that can be achieved by any data monitoring method provided in the embodiments of the present application can be achieved, for details, see the foregoing embodiments, and are not described herein again.
The data monitoring method, the data monitoring device, the storage medium and the electronic device provided by the embodiments of the present application are introduced in detail, and a specific example is applied to illustrate the principle and the implementation of the present application, and the description of the embodiments is only used to help understand the method and the core idea of the present application; meanwhile, for those skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A method for monitoring data, comprising:
displaying a monitoring task creating interface, wherein the monitoring task creating interface is an interface for a user to create a data monitoring task, and comprises a plurality of editing controls;
determining task attribute information of an input target task and monitoring rule information aiming at the target task based on the input operation aiming at the editing control;
based on the task attribute information and the monitoring rule information, creating a data monitoring task corresponding to the target task;
executing the target task, and detecting task execution result data of the target task in real time;
when detecting that the task execution result data exists, executing the data monitoring task aiming at the task execution result data to obtain a data monitoring result;
and displaying the data monitoring result in real time.
2. The data monitoring method according to claim 1, wherein the executing the target task and the real-time detecting of the task execution result data of the target task comprise:
determining a target task needing to be monitored from a plurality of candidate tasks;
determining target data to be processed which needs to be processed from a plurality of data to be processed corresponding to the target task;
and executing the target task aiming at the target data to be processed, and detecting the task execution result data of the target task in real time.
3. The data monitoring method according to claim 1, wherein when it is detected that the task execution result data exists, the data monitoring task is executed according to the task execution result data, and a data monitoring result is obtained, including:
when detecting that the task execution result data exists, executing the data monitoring task aiming at the task execution result data to obtain initial monitoring data;
and writing the initial monitoring data into a preset page template to obtain a data monitoring result.
4. The data monitoring method according to claim 3, wherein when it is detected that the task execution result data exists, executing the data monitoring task with respect to the task execution result data to obtain initial monitoring data, and includes:
when the task execution result data is detected to exist, executing the data monitoring tasks aiming at a plurality of monitoring objects in the task execution result data to obtain initial monitoring subdata corresponding to each monitoring object;
carrying out format conversion on each initial monitoring subdata to obtain a plurality of converted monitoring subdata;
and constructing initial monitoring data based on the converted monitoring subdata.
5. The data monitoring method of claim 4, wherein constructing initial monitoring data based on the plurality of converted monitoring subdata comprises:
when detecting that the data integrity of the plurality of converted monitoring subdata meets a preset standard, analyzing the plurality of converted monitoring subdata to obtain a plurality of analyzed monitoring subdata;
and combining the analyzed monitoring subdata to obtain initial monitoring data.
6. The data monitoring method according to claim 1, wherein creating a data monitoring task corresponding to the target task based on the task attribute information and the monitoring rule information includes:
calling a task interface of the computing platform;
and when the task interface of the computing platform is called successfully, creating a data monitoring task corresponding to the target task based on the task attribute information and the monitoring rule information.
7. The data monitoring method according to claim 1, wherein the monitoring task creation interface includes a first monitoring task creation interface and a second monitoring task creation interface;
based on the input operation aiming at the editing control, determining the task attribute information of the input target task and the monitoring rule information aiming at the target task, wherein the task attribute information comprises the following steps:
determining task attribute information of an input target task based on the input operation of the editing control in the first monitoring task creation interface;
and determining monitoring rule information aiming at the target task based on the input operation aiming at the editing control in the second monitoring task creation interface.
8. A data monitoring device, comprising:
the system comprises an interface display module, a data processing module and a data processing module, wherein the interface display module is used for displaying a monitoring task creating interface, the monitoring task creating interface is an interface for a user to create a data monitoring task, and the monitoring task creating interface comprises a plurality of editing controls;
the determining module is used for determining task attribute information of an input target task and monitoring rule information aiming at the target task based on the input operation aiming at the editing control;
the creating module is used for creating a data monitoring task corresponding to the target task based on the task attribute information and the monitoring rule information;
the execution module is used for executing the target task and detecting task execution result data of the target task in real time;
the monitoring module is used for executing the data monitoring task aiming at the task execution result data to obtain a data monitoring result when the task execution result data is detected to exist;
and the result display module is used for displaying the data monitoring result in real time.
9. A computer storage medium having a computer program stored thereon, which, when run on a computer, causes the computer to perform a data monitoring method according to any one of claims 1-7.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method according to any of claims 1 to 7 are implemented when the program is executed by the processor.
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